Sampling Proper Colorings on Line Graphs Using $(1+o(1))Δ$ Colors

Fuente: arXiv
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Main Authors: Wang, Yulin, Zhang, Chihao, Zhang, Zihan
Format: Preprint
Published: 2023
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author Wang, Yulin
Zhang, Chihao
Zhang, Zihan
author_facet Wang, Yulin
Zhang, Chihao
Zhang, Zihan
contents We prove that the single-site Glauber dynamics for sampling proper $q$-colorings mixes in $O_Δ(n\log n)$ time on line graphs with $n$ vertices and maximum degree $Δ$ when $q>(1+o(1))Δ$. The main tool in our proof is the matrix trickle-down theorem developed by Abdolazimi, Liu and Oveis Gharan (FOCS, 2021).
format Preprint
id arxiv_https___arxiv_org_abs_2307_08080
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Sampling Proper Colorings on Line Graphs Using $(1+o(1))Δ$ Colors
Wang, Yulin
Zhang, Chihao
Zhang, Zihan
Data Structures and Algorithms
Probability
We prove that the single-site Glauber dynamics for sampling proper $q$-colorings mixes in $O_Δ(n\log n)$ time on line graphs with $n$ vertices and maximum degree $Δ$ when $q>(1+o(1))Δ$. The main tool in our proof is the matrix trickle-down theorem developed by Abdolazimi, Liu and Oveis Gharan (FOCS, 2021).
title Sampling Proper Colorings on Line Graphs Using $(1+o(1))Δ$ Colors
topic Data Structures and Algorithms
Probability
url https://arxiv.org/abs/2307.08080